Lead ML Engineer

SoftServe; Colombia; Presencial; COP 120.000.000 - 240.000.000; Jornada completa

Descripción de la vacante

SoftServe is seeking a leader to set the technical direction for ML engineering and oversee delivery of production-grade AI systems within the AI and Data Science Center of Excellence.

You will bridge research and real-world impact, leading cross-functional teams across NLP, RAG, and multimodal projects while shaping ML strategy for world-leading clients.

Formación

• Strong Python proficiency across core ML ecosystem and production-grade deployments.
• Deep expertise in LLMOps, AgentOps and experiment tracking tools like MLflow, Langfuse, LangSmith, Weights & Biases.
• Proven experience deploying cloud-based AI/ML solutions on AWS, Azure, or GCP with CI/CD/CT practices.
• Advanced knowledge of agentic AI frameworks such as LangGraph or CrewAI.
• Experience leading ML Engineering teams and shaping engineering best practices.
• Strong stakeholder management and ability to communicate technical decisions to clients/executives.
• Master’s degree in Computer Science or a related field; high English proficiency.

Responsabilidades

• Define and set technical standards and architecture for end-to-end ML systems.
• Oversee production-ready LLMOps pipelines and observability.
• Lead collaboration with Data Scientists, Engineers, and clients for NLP, RAG, and multimodal models.
• Architect multi-agent systems using LangGraph or CrewAI for production-scale autonomy.
• Govern CI/CD/CT pipelines and cloud infrastructure (AWS/Azure/GCP) and security best practices.
• Mentor ML Engineers and foster a culture of MLOps excellence.
• Contribute to technical strategy and client engagements within the CoE.

Conocimientos

Python programming

LLMOps

AgentOps

Team leadership

Stakeholder management

English proficiency

Educación

Master’s degree in Computer Science or related field

Herramientas

MLflow

LangSmith

Langfuse

Weights & Biases

LangGraph

CrewAI

Descripción del empleo

About The Role

In this role, you will set the technical direction for ML engineering and oversee the delivery of production-grade AI systems, from LLMOps infrastructure and agentic pipelines to scalable multimodal solutions, within SoftServe’s AI and Data Science Center of Excellence. You’ll bridge applied research and real-world impact, leading cross-functional teams and shaping ML strategy for world-leading clients

About The Role

In this role, you will set the technical direction for ML engineering and oversee the delivery of production-grade AI systems, from LLMOps infrastructure and agentic pipelines to scalable multimodal solutions, within SoftServe’s AI and Data Science Center of Excellence. You’ll bridge applied research and real-world impact, leading cross-functional teams and shaping ML strategy for world-leading clients

Responsibilities

• Define and drive technical standards and architecture for end-to-end ML systems, ensuring scalability, reliability, and alignment with business objectives
• Oversee the design and delivery of production-ready LLMOps pipelines using MLflow, LangSmith, Langfuse, or Weights & Biases, establishing observability, reproducibility, and quality standards across teams
• Lead collaboration with Data Scientists, Engineers, and clients, translating complex business requirements into robust ML solutions for NLP, RAG systems, and multimodal models
• Advance agentic AI capabilities by architecting and overseeing multi-agent systems using LangGraph or CrewAI, driving autonomy and real-world problem-solving at production scale
• Establish and continuously improve ML engineering processes, from CI/CD/CT pipeline governance and cloud infrastructure on AWS, Azure, or GCP to monitoring and security best practices
• Mentor and guide ML Engineers, embedding engineering excellence, MLOps best practices, and a culture of continuous learning across the team
• Contribute to technical strategy and thought leadership, supporting client engagements and innovation initiatives within the CoE

Requirements

• Strong Python proficiency across the core ML ecosystem, with a proven track record of building and deploying complex ML systems in production
• Deep expertise in LLMOps, AgentOps, and experiment tracking tools such as MLflow, Langfuse, LangSmith, and Weights & Biases
• Proven experience architecting and deploying cloud-based AI/ML solutions on AWS, Azure, or GCP, with strong knowledge of CI/CD/CT practices and workflow orchestration tools
• Advanced knowledge of agentic AI frameworks such as LangGraph or CrewAI, with experience designing multi-agent systems for production environments
• Demonstrated experience leading or mentoring ML Engineering teams, driving technical vision, and establishing engineering best practices
• Strong stakeholder management skills, with the ability to shape ML strategy and communicate complex technical decisions to clients and executive audiences
• Master’s degree in Computer Science or a related field
• Higher proficiency in English, both spoken and written

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.